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IEEE INFOCOM

作者： Xiaojun Zhu Fengyuan Xu Edmund Novak Chiu C. Tan Qun Li Guihai Chen State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210024 China Department of Computer Science the College of William and Mary Williamsburg VA 23185 USA Department of Computer and Information Sciences Temple University Philadelphia PA 19122 USA

ISBN: (纸本)9781467359443

A crucial component of vehicular network security is to establish a secure wireless channel between any two vehicles. In this paper, we propose a scheme to allow two cars to extract a secret key from RSSI (Received Signal Strength Indicator) values in such a way that nearby cars cannot obtain the same secret. Our solution can be executed in noisy, outdoor vehicular environments. We also propose an online parameter learning mechanism to adapt to different channel conditions. We conduct extensive real-world experiments to validate our solution.

关键词： secret key dynamics Network security wireless Radio links Cars Environments

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A QoS-aware composition method supporting cross-platform service invocation in cloud environment

A QoS-aware composition method supporting cross-platform ser...

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作者： Qi, Lianyong Dou, Wanchun Zhang, Xuyun Chen, Jinjun State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Department of Computer Science and Technology Nanjing University Nanjing 210093 China School of Systems Management and Leadership University of Technology Sydney Australia

With the increasing popularity of cloud computing technologies, more and more service composition processes are enacted and executed in could environment. Compared with the various and approximately infinite application requirements from end users, the web services held by a cloud platform are usually limited. Therefore, it is often a challenging effort to develop a service composition, in such a situation that only part of the functional qualified candidate services could be found inside a cloud platform. In this situation, the absent services will be invocated in a cross-platform way outside the cloud platform. In view of this challenge, a QoS-aware composition method is investigated for supporting cross-platform service invocation in cloud environment. Furthermore, some experiments are deployed to evaluate the method presented in this paper. © 2012 Elsevier Inc.

关键词： Web services

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Efficient median estimation for RFID systems

Efficient median estimation for RFID systems

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2012 International Conference on Computing, Measurement, Control and Sensor Network, CMCSN 2012

作者： Mustafa, Huda El Hag Zhu, Xiaojun Li, Qun Department of Computer Science College of William and Mary Williamsburg VA United States Department of Computer Science Faculty of Mathematical Sciences University of Khartoum Sudan State Key Laboratory for Novel Software Technology Nanjing University China

ISBN: (纸本)9780769547381

Radio frequency identification (RFID) tags are used in a lot of applications such as production line and inventory management. Sensors are also a widely adopted wireless technology. This large scale deployment of both RFID technology and sensor technology has opened the door to innovative ways to integrate RFID and sensor technology. Sensor-tags are tags that can report sensed information to an RFID reader. The traditional way to obtain information from tags is to query each tag for its value. This works, however, only for a relatively small number of tags. When the number of tags becomes large it is prohibitive to query one by one due to the high delay. In this paper we present a probabilistic algorithm for estimating the median of a set of RFID tags using binary search. We then evaluate the accuracy and time efficiency of our algorithm. © 2012 IEEE.

关键词： Radio frequency identification (RFID)

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Topic Correlation Analysis for Cross-Domain Text Classification 26

Topic Correlation Analysis for Cross-Domain Text Classificat...

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26th AAAI Conference on Artificial Intelligence, AAAI 2012

作者： Li, Lianghao Jin, Xiaoming Long, Mingsheng Key Laboratory for Information System Security Ministry of Education Tsinghua National Laboratory for Information Science and Technology School of Software Tsinghua University Beijing China Department of Computer Science and Technology Tsinghua University Beijing China

Cross-domain text classification aims to automatically train a precise text classifier for a target domain by using labeled text data from a related source domain. To this end, the distribution gap between different domains has to be reduced. In previous works, a certain number of shared latent features (e.g., latent topics, principal components, etc.) are extracted to represent documents from different domains, and thus reduce the distribution gap. However, only relying the shared latent features as the domain bridge may limit the amount of knowledge transferred. This limitation is more serious when the distribution gap is so large that only a small number of latent features can be shared between domains. In this paper, we propose a novel approach named Topic Correlation Analysis (TCA), which extracts both the shared and the domain-specific latent features to facilitate effective knowledge transfer. In TCA, all word features are first grouped into the shared and the domain-specific topics using a joint mixture model. Then the correlations between the two kinds of topics are inferred and used to induce a mapping between the domain-specific topics from different domains. Finally, both the shared and the mapped domain-specific topics are utilized to span a new shared feature space where the supervised knowledge can be effectively transferred. The experimental results on two real-world data sets justify the superiority of the proposed method over the stat-of-the-art baselines. Copyright © 2012, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Classification (of information)

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Topic correlation analysis for cross-domain text classification

Topic correlation analysis for cross-domain text classificat...

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26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference, AAAI-12 / IAAI-12

作者： Li, Anghao Jin, Xiaoming Long, Mingsheng Key Laboratory for Information System Security School of Software Tsinghua University Beijing China Department of Computer Science and Technology Tsinghua University Beijing China

ISBN: (纸本)9781577355687

关键词： Classification (of information)

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Identity Based Encryption and Biometric Authentication Scheme for Secure Data Access in Cloud Computing

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电子学报(英文版) 2012年第2期21卷 254-259页

作者： CHENG Hongbing RONG Chunming TAN Zhenghua ZENG Qingkai State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Department of Information Engineering Jiangsu City Vocation College Nanjing 210036 China Department of Electronic Engineering and Computer Science University of Stavanger 4036 Stavanger Norway Department of Electronic Systems Aalborg University Niels Jernes Vej 12 9220 Aalborg Denmark

Cloud computing will be a main informa- tion infrastructure in the future; it consists of many large datacenters which are usually geographically distributed and heterogeneous. How to design a secure data access for cloud computing platform is a big challenge. In this paper, we propose a secure data access scheme based on identity-based encryption and biometric authentication for cloud computing. Firstly, we describe the security concern of cloud computing and then propose an integrated data access scheme for cloud computing, the procedure of the proposed scheme include parameter setup, key distribu- tion, feature template creation, cloud data processing and secure data access control. Finally, we compare the pro- posed scheme with other schemes through comprehensive analysis and simulation. The results show that the pro- posed data access scheme is feasible and secure for cloud computing.

关键词：计算安全数据访问身份验证生物识别加密信息基础设施地理分布数据中心

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Verification of workflow nets with transition conditions

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Journal of Zhejiang University-science C(computers and Electronics) 2012年第7期13卷 483-509页

作者： Zhao-xia WANG Jian-min WANG Xiao-chen ZHU Li-jie WEN School of Software Tsinghua UniversityBeijing 100084China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China MOE Key Laboratory for Information System Security Tsinghua UniversityBeijing 100084China National Laboratory for Information Science and Technology Tsinghua UniversityBeijing 100084China SDepartment of Logistical Information&Engineering Logistical Engineering UniversityChongqing 400016China

Workflow management is concerned with automated support for business *** management systems are driven by process models specifying the tasks that need to be executed,the order in which they can be executed,which resources are authorised to perform which tasks,and data that is required for,and produced by,these *** workflow instances may run over a sustained period of time,it is important that workflow specifications be checked before they are *** verification is usually concerned with control-flow dependencies only;however,transition conditions based on data may further restrict possible choices between *** this paper we extend workflow nets where transitions have concrete conditions associated with them,called *** then demonstrate that we can determine which execution paths of a WTC-net that are possible according to the control-flow dependencies,are actually possible when considering the conditions based on ***,we are able to more accurately determine at design time whether a workflow net with transition conditions is sound.

关键词： Workflow nets Transition condition Verification Process model

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A cloud-based watermarking method for health data security

A cloud-based watermarking method for health data security

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2012 10th Annual International Conference on High Performance Computing and Simulation, HPCS 2012

作者： Yu, Zhiwei Thomborson, Clark Wang, Chaokun Wang, Jianmin Li, Rui Department of Computer Science and Technology Tsinghua University Beijing China Department of Computer Science University of Auckland New Zealand School of Software Tsinghua University Key Laboratory for Information System Security Beijing China

ISBN: (纸本)9781467323598

Private health information once confined to local medical institutions is migrating onto the Internet as an Electronic Health Record (EHR) that is accessed by cloud computing. No matter where it is hosted, health data is subject to security breaches, privacy abuses, and access control violations. However, novel technologies have new vulnerabilities, and allow new mitigations. In this paper, we propose a watermarking method in the architecture of cloud computing, to mitigate the risks of insider disclosures. Our design and preliminary implementation are accomplished by exploiting the MapReduce mechanism in the cloudlet we built. Our evaluation shows that our proposal addresses all of the requirements of the Cloud Oriented Architecture (COA) framework of the Jericho Forum. © 2012 IEEE.

关键词： Cloud computing

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A software watermark based architecture for cloud security

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14th Asia Pacific Web technology Conference, APWeb 2012

作者： Dai, Pengfei Wang, Chaokun Yu, Zhiwei Yue, Yongsheng Wang, Jianmin School of Software Tsinghua University Beijing 100084 China Tsinghua National Laboratory for Information Science and Technology China Key Laboratory for Information System Security Ministry of Education China Department of Computer Science and Technology Tsinghua University China

ISBN: (纸本)9783642292521

Cloud Computing has emerged as a resource sharing platform, which allows different service providers to deliver software as services. However, for many security sensitive applications such as critical data processing and e-business, we must provide necessary security protection for mitigating the threats in the shared open cloud infrastructures. In this paper, we propose a software watermark enhanced platform to assure that only the software with authorized watermark is allowed to run on the platform. Experimental results show that our architecture could provide a great protection with a small overhead. © 2012 Springer-Verlag Berlin Heidelberg.

关键词： Virtual machine

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Optimizing energy consumption for time-constraint data query in wireless environment

Optimizing energy consumption for time-constraint data query...

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2012 IEEE International Conference on Cluster Computing Workshops, Cluster Workshops 2012

作者： Hu, Haiyang Hu, Hua Chiu, Dickson K.W. College of Computer Science Hangzhou Dianzi University Hangzhou Zhejiang 310018 China State Key Laboratory for Novel Software Technology Nanjing University China Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong

ISBN: (纸本)9780768548449

To cope with time-constraint data query in an energy-efficient manner, mechanisms on joint optimization of expense and energy for mobile clients in wireless environments should be provided. We present an intelligent wireless data access scheme called EPGA to address the issue of energy and expense optimization based on public goods auction, in which the shared data items among the mobile clients are seen as public resources. By comparing the utilities that can be received through sending the request message at different time intervals, EPGA can help each client independently make the strategy of sending querying message, so as to save the energy and expense without violating the time-constraint. We conduct the symmetric Nash equilibrium among the clients and compare EPGA with other schemes by experiments. The EPGA approach shows its effectiveness in joint optimization of energy and expense for the mobile clients. © 2012 IEEE.

关键词： Energy utilization

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